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Symptom patterns and life with post-acute COVID-19 in children aged 8–17 years: a mixed-methods study protocol

BACKGROUND: While there is a substantial body of knowledge about acute COVID-19, less is known about long-COVID, where symptoms continue beyond 4 weeks. AIM: To describe longer-term effects of COVID-19 infection in children and young people (CYP) and identify their needs in relation to long-COVID. D...

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Detalles Bibliográficos
Autores principales: Faux-Nightingale, Alice, Burton, Claire, Twohig, Helen, Blagojevic-Bucknall, Milica, Carroll, Will, Chew-Graham, Carolyn A, Dunn, Kate, Gilchrist, Francis, Helliwell, Toby, Lawton, Oliver, Lawton, Sarah, Mallen, Christian, Saunders, Benjamin, van der Windt, Danielle, Welsh, Victoria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354389/
https://www.ncbi.nlm.nih.gov/pubmed/36759021
http://dx.doi.org/10.3399/BJGPO.2022.0149
Descripción
Sumario:BACKGROUND: While there is a substantial body of knowledge about acute COVID-19, less is known about long-COVID, where symptoms continue beyond 4 weeks. AIM: To describe longer-term effects of COVID-19 infection in children and young people (CYP) and identify their needs in relation to long-COVID. DESIGN & SETTING: This study comprises an observational prospective cohort study and a linked qualitative study, identifying participants aged 8–17 years in the West Midlands of England. METHOD: CYP will be invited to complete online questionnaires to monitor incidences and symptoms of COVID-19 over a 12-month period. CYP who have experienced long-term effects of COVID will be invited to interview, and those currently experiencing symptoms will be asked to document their experiences in a diary. Professionals who work with CYP will be invited to explore the impact of long-COVID on the wider experiences of CYP, in a focus group. Descriptive statistics will be used to describe the incidence and rates of resolution of symptoms, and comparisons will be made between exposed and non-exposed groups. Logistic regression models will be used to estimate associations between candidate predictors and the development of long-COVID, and linear regression will be used to estimate associations between candidate predictors. Qualitative data will be analysed thematically using the constant comparison method. CONCLUSION: This study will describe features and symptoms of long-COVID and explore the impact of long-COVID within the lives of CYP and their families, to provide better understanding of long-COVID and inform clinical practice.